Validation of an Expanded Carrier Screen that Optimizes Sensitivity via Full-Exon Sequencing and Panel-wide Copy Number Variant Identification

Author:

Hogan Gregory J1,Vysotskaia Valentina S1,Beauchamp Kyle A1,Seisenberger Stefanie1,Grauman Peter V1,Haas Kevin R1,Hong Sun Hae1,Jeon Diana1,Kash Shera1,Lai Henry H1,Melroy Laura M1,Theilmann Mark R1,Chu Clement S1,Iori Kevin1,Maguire Jared R1,Evans Eric A1,Haque Imran S1,Mar-Heyming Rebecca1,Kang Hyunseok P1,Muzzey Dale1

Affiliation:

1. Counsyl, Inc., South San Francisco, CA

Abstract

Abstract BACKGROUND By identifying pathogenic variants across hundreds of genes, expanded carrier screening (ECS) enables prospective parents to assess the risk of transmitting an autosomal recessive or X-linked condition. Detection of at-risk couples depends on the number of conditions tested, the prevalence of the respective diseases, and the screen's analytical sensitivity for identifying disease-causing variants. Disease-level analytical sensitivity is often <100% in ECS tests because copy number variants (CNVs) are typically not interrogated because of their technical complexity. METHODS We present an analytical validation and preliminary clinical characterization of a 235-gene sequencing-based ECS with full coverage across coding regions, targeted assessment of pathogenic noncoding variants, panel-wide CNV calling, and specialized assays for technically challenging genes. Next-generation sequencing, customized bioinformatics, and expert manual call review were used to identify single-nucleotide variants, short insertions and deletions, and CNVs for all genes except FMR1 and those whose low disease incidence or high technical complexity precluded novel variant identification or interpretation. RESULTS Screening of 36859 patients' blood or saliva samples revealed the substantial impact on fetal disease-risk detection attributable to novel CNVs (9.19% of risk) and technically challenging conditions (20.2% of risk), such as congenital adrenal hyperplasia. Of the 7498 couples screened, 335 were identified as at risk for an affected pregnancy, underscoring the clinical importance of the test. Validation of our ECS demonstrated >99% analytical sensitivity and >99% analytical specificity. CONCLUSIONS Validated high-fidelity identification of different variant types—especially for diseases with complicated molecular genetics—maximizes at-risk couple detection.

Publisher

Oxford University Press (OUP)

Subject

Biochemistry, medical,Clinical Biochemistry

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